Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Frontier AI, DeepMind Research Scientist at Google DeepMind focused on advancing the frontiers of artificial intelligence, specifically developing next-generation multimodal models. This role involves defining and leading ambitious research projects, designing innovative model architectures, and contributing to the overall research strategy with a strong emphasis on publications in top ML conferences. | PretrainPost-train | 10 |
| Research Scientist, Frontier AI, Google DeepMind Research Scientist at Google DeepMind's Frontier AI unit, focusing on advancing AI by developing next-generation multimodal models. The role involves defining and leading research projects, designing innovative model architectures, and establishing evaluation benchmarks, with a strong emphasis on publication and collaboration. |
| PretrainPost-train |
| 10 |
| Senior Software Engineer, AI/ML, LLM Modeling This role focuses on training and deploying Large Language Models (LLMs) for search applications, involving reinforcement learning, multi-step reasoning, distillation, and optimizing model latency in production. The engineer will propose new modeling ideas, collect and evaluate training data, design evaluations, and collaborate on applying LLMs in real-world scenarios. | Post-trainServe | 9 |
| Staff Software Engineer, AAI Research Research role focused on building and improving next-generation AI agents for Google Cloud customers, involving dataset creation, agent design, metric definition, and quality iteration. | AgentData | 9 |
| Research Scientist, Google Research, AI/ML Research Scientist role focused on utilizing LLMs for real-world tasks including rating scenarios, personalized evaluation, and simulating users to model preferences and behaviors. The role involves understanding academic literature, building and delivering functioning systems to Google products, and contributing to the wider research community through publications. The team's work is delivered in products like Search and Ads. | AgentEval Gate | 9 |
| Research Software Engineer, Generative AI Research Software Engineer focused on developing foundational models and core technologies for synthesizing reality, particularly human body, face, and related components, to power machine learning, build better products, and enable next-generation user experiences, with applications in AR and XR devices. The role involves developing algorithms for 3D body shape estimation, rigging, skinning, and physics-based generative animation conditioned on multimodal inputs, with a requirement for publication in AI conferences. | Post-trainServe | 9 |
| Visiting Faculty Researcher, AI Personalization Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization. | Post-trainAgent | 9 |
| Software Engineer III, AI/ML Shopping Creator, YouTube Google is seeking a Software Engineer III for their YouTube Shopping Creator team. This role focuses on leveraging AI/ML to enhance creator content and engagement with shopping features. The engineer will lead the design and development of ML/AI models, architect systems integrating LLMs for intelligent recommendations, and collaborate with cross-functional teams to deliver the roadmap for AI capabilities. The role requires experience in software development and ML infrastructure, with preferred experience in e-commerce and deep understanding of ML/LLM systems. | Agent | 8 |
| Software Engineer III, XR World Context Software Engineer III at Google, focusing on the convergence of AI and XR. The role involves developing and productionalizing computer vision and machine learning technologies for spatial AI, context awareness, and 3D scene understanding, specifically for XR devices like headsets and smart glasses. The engineer will lead the development and deployment of Sensing capabilities, collaborate with system owners on roadmaps, and scale impact through robust systems and processes. | Ship | 8 |
| Research Software Engineer, Computer Vision Research Software Engineer focused on computer vision and ML for XR applications, specifically 3D reconstruction, scene understanding, and novel view synthesis. The role involves research, development, and optimization of 3D scene representation pipelines, bridging the gap from research to product. | AgentServe | 8 |
| Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind Tech Lead Manager for GeminiApp, DeepMind, focusing on measuring the intelligence of AI agents through testing systems, developing test problems, and evaluating agent performance. The role involves leading a team of software engineers to ensure freshness and factuality in Gemini applications, driving backend improvements, and productionizing solutions. It requires a strong software engineering foundation, technical leadership, and experience with deep learning/machine learning, with a focus on offline and online evaluation pipelines and agent testing. | Eval GateAgent | 8 |
| Software Engineer III, 3D Modelling, XR Google is seeking a Machine Learning Engineer with a focus on 3D geometry to work on the convergence of AI and XR. The role involves managing the end-to-end training process for ML models, optimizing them for various environments, and ensuring data quality and robustness. The engineer will adapt research in monocular depth modeling for real-world scenarios, bridging the gap between research and product requirements. | Post-trainServe | 8 |
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the Graph Flow platform, bridging pioneering models with enterprise solutions. The role involves defining new features, technical leadership, literature reviews, experimentation, efficient implementation on target hardware, and productionizing components. It also includes mentoring and collaborating with clients and research partners, with a focus on applied research and engineering. | ServePost-train | 8 |
| Software Engineer III, Machine Learning, Search Intelligence Software Engineer III, Machine Learning, Search Intelligence at Google, focused on developing and deploying core ranking and machine learning models for Google Search. The role involves building data pipelines, contributing to model distillation, and maintaining training infrastructure to improve performance for challenging queries, particularly for long-tail query scenarios. The position requires experience in software development, ML infrastructure, and potentially speech/audio, reinforcement learning, or other ML specializations. | Post-trainServe | 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the ML Frontiers team, collaborating on LLM agents and decision forests. The role involves feature development, research exploration, and client collaboration, bridging pioneering models with enterprise solutions. | Post-train | 8 |
| Software Engineer III, Machine Learning, Research and Products Software Engineer III, Machine Learning, Research and Products at Google Cloud, focusing on developing and scaling LLM & RAG agents. This role involves writing product/system code, implementing ML solutions, optimizing models, and contributing to data processing, with a minimum of 1 year of experience in Generative AI, Agents, or LLMs. | AgentData | 8 |
| Software Engineer III, AI/ML, YouTube Shopping Google is seeking a Software Engineer III, AI/ML for their YouTube Shopping team in Zurich. The role involves designing, implementing, and deploying ML models for tasks like Product Detection and Video Classification, building training data pipelines, and ensuring model performance through evaluation frameworks. The engineer will also contribute to the back-end infrastructure for efficient model serving at scale and implement solutions in specialized ML areas. | Post-trainServe | 8 |
| Software Engineering Manager, Automotive AI Agent Google is seeking a Software Engineering Manager for their Automotive AI Agent team in Zurich, Switzerland. This role involves leading a team to architect and deploy a Gemini-native platform for AI-defined vehicles, focusing on LLM-native orchestration, bidirectional streaming, and omnichannel SDKs. The manager will drive production reliability, partner with OEMs to translate requirements like multi-agent orchestration, and use a data-driven approach to improve driver experience. The role requires strong experience in managing software engineering teams, distributed systems, cloud APIs, and AI/ML technologies, particularly LLMs. | AgentServe | 8 |
| Software Engineer III, Generative AI Software Engineer III at Google, focusing on implementing Generative AI solutions. The role involves writing product/system development code, collaborating with peers, contributing to documentation, triaging issues, and debugging. Key responsibilities include implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with ML infrastructure and GenAI techniques like LLMs and Multi-Modal models. | Ship | 8 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer for Google's AI Automotive team, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a strong emphasis on software design, architecture, and engineering excellence. | Agent | 7 |
| Software Engineer III, AI/ML, Sensor Fusion, XR Software Engineer III at Google working on AI/ML for Sensor Fusion in XR devices. The role involves developing foundational visual-inertial fusion for odometry, localization, and mapping, powering AndroidXR devices. Responsibilities include writing product/system development code, collaborating on design and code reviews, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| Senior Software Engineer, 3D Perception for Spatial AI Senior Software Engineer role focused on 3D Perception for Spatial AI, involving the development and optimization of computer vision algorithms for AI-driven XR applications. The role requires prototyping, building, testing, and optimizing ML perception pipelines for next-generation hardware, with a focus on integrating complex CV features into system architecture for production quality. | ShipData | 7 |
| Software Engineer III, GenAI Safety Software Engineer III, GenAI Safety at Google DeepMind Abuse team. Focuses on designing, building, and scaling account-centric detection systems within the GenAI Safety Platform to protect Generative AI products from misuse. Develops classifiers for policy violations and abusive behavior, integrates with enforcement mechanisms, and analyzes data to improve detection methods. Requires ML/AI experience and software development skills. | AgentEval Gate | 7 |
| Engineer III, AI/ML, Online Calibration, XR Google is seeking an Engineer III, AI/ML for their Online Calibration team within the XR division. This role focuses on developing and implementing AI/ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing for next-generation XR devices. The engineer will write product/system code, collaborate with peers, triage issues, and implement solutions in specialized ML areas, potentially including speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer III, ML Pipeline Development, XR Software Engineer III, ML Pipeline Development, XR role focuses on productionizing advanced models and pipelines for on-device and server-based XR applications. Responsibilities include developing algorithms and frameworks for end-to-end pipeline development, optimizing system performance for hardware constraints, and ensuring critical power KPIs are met. Training ML models is not a requirement. | Serve | 7 |
| Software Engineer III, Spatial AI, XR Software Engineer III, Spatial AI, XR role focused on full-stack productionization and technical integration of on-device AI products for XR devices. Responsibilities include object tracking pipelines, API design, platform optimizations, and ensuring AI product quality and performance on target devices. | ServeAgent | 7 |
| Software Engineer III, AI/ML, DSP/HTP Optimisation Software Engineer III at Google, focusing on optimizing ML model performance on specialized hardware (DSP/HTP) to meet strict power and thermal constraints. This role involves hardware-specific optimizations, power profiling, and ensuring ML model efficiency within system architecture. | Serve | 7 |
| Senior Software Engineer, Automotive AI Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities. | Agent | 7 |
| Engineering Analyst Manager, Account Security, Intelligent Defenses Lead This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders. | AgentData | 7 |
| XR Audio Face Tracking ML Software Engineer Software Engineer focused on developing and optimizing ML models for real-time facial motion tracking on low-power XR devices, working with multimodal inputs and production pipelines. | ServePost-train | 7 |
| Software Engineer III, AI/ML, Google Cloud, Automotive Software Engineer III role at Google Cloud focusing on AI/ML within the Automotive sector. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, and data processing. Minimum qualifications include experience in software development and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Machine Learning Analyst, Egregious Harms This role focuses on developing and applying machine learning and AI techniques to create scalable safety solutions for AI products within Google's Trust and Safety team. The analyst will examine protection measures, uncover shortcomings, and provide insights for security enhancements, specifically computing statistics on the performance of ML systems, classifiers, and LLMs to identify nuanced problems. | ShipPost-train | 7 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer on the AI Automotive team at Google, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a focus on engineering excellence and technical leadership. | Agent | 7 |
| Software Engineer ll, Account Threats Detection, Google Core Software Engineer II on the Account Threats Detection team at Google Core, focusing on building and operating the ML ecosystem for transformer-based account activity models. The role involves implementing ML pipelines for experimentation, training, validation, and deployment, as well as analyzing model drift and collaborating with partners to integrate threat detection solutions. | ServePost-train | 7 |
| Senior Software Engineer, Automotive AI Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities. | Agent | 7 |
| Product Manager II, Applied AI, Automotive AI Agent Product Manager for an Automotive AI Agent Platform, focusing on building voice and multimodal interfaces for machine learning systems in the automotive industry. The role involves managing the platform, collaborating with engineering on SDKs for OEMs, understanding customer requirements, defining the roadmap, and bringing new features from research to customers. | Agent | 7 |
| Engineering Analyst Manager, Account Security, Intelligent Defenses Lead This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders. | AgentData | 7 |
| Software Engineer III, YouTube Streaming Trust and Safety Software Engineer III at Google YouTube, focusing on Trust and Safety for livestreams. The role involves analyzing content gaps, building multi-modal classifiers (video, image, audio, transcripts, metadata) using machine learning, and productionizing these solutions. Requires experience in applied ML, Python, and handling large-scale systems. | Post-train | 7 |
| Senior Software Engineer, Operations Research Senior Software Engineer role focused on applying Operations Research and Machine Learning techniques to enhance Gemini and improve developer workflows with optimization agents. The role involves building technology to solve complex optimization problems and democratizing optimizations through new surfaces. | Agent | 7 |
| Software Engineer III, YouTube Trust and Safety Software Engineer III at Google's YouTube Trust and Safety team, focusing on building classifiers and applying ML methods to improve automatic content detection and address trust and safety challenges. The role involves analyzing content understanding gaps, orchestrating signals from expert models, and productionizing ML solutions. | Post-trainServe | 7 |